Description of shape information for 2-D and 3-D objects

Paquet, Éric; Rioux, Marc; Murching, A.M.; Naveen, T.; Tabatabai, A.

doi:10.1016/s0923-5965(00)00020-5

Cited by 252 publications

(148 citation statements)

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“…The PCA algorithm generates mutually uncorrelated features taking a set of vectors as input. The set of vertices of the polygonal model [3] or the centroids of the model's triangles [29] have been used as input to the PCA. In [5,27] the so-called CPCA is presented.…”

Section: Translation and Rotation Normalizationmentioning

confidence: 99%

Efficient 3D shape matching and retrieval using a concrete radialized spherical projection representation

Papadakis

Pratikakis

Perantonis

et al. 2007

Pattern Recognition

167

105

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We present a 3D shape retrieval methodology based on the theory of spherical harmonics. Using properties of spherical harmonics, scaling and axial flipping invariance is achieved. Rotation normalization is performed by employing the continuous principal component analysis along with a novel approach which applies PCA on the face normals of the model. The 3D model is decomposed into a set of spherical functions which represents not only the intersections of the corresponding surface with rays emanating from the origin but also points in the direction of each ray which are closer to the origin than the furthest intersection point. The superior performance of the proposed methodology is demonstrated through a comparison against state-of-the-art approaches on standard databases. ᭧

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Section: Translation and Rotation Normalizationmentioning

confidence: 99%

Efficient 3D shape matching and retrieval using a concrete radialized spherical projection representation

Papadakis

Pratikakis

Perantonis

et al. 2007

Pattern Recognition

167

105

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“…Experience has shown this technique to be very efficient [10][11]. For example, Figure 13-3 shows the retrieval of vase pieces from a broken vase database containing about 400 pieces.…”

Section: Chapter 13mentioning

confidence: 99%

“…The National Research Council (NRC) of Canada has developed a system that automatically describes the shape of a large set of three-dimensional objects [10][11]. In this approach, the information about each object is written in a descriptor, which thus presents an abstract representation of the shape of the object.…”

Section: Shape Description For Three-dimensional Objectsmentioning

confidence: 99%

“…In this approach, the information about each object is written in a descriptor, which thus presents an abstract representation of the shape of the object. We include a brief description of the general idea [10][11].…”

Section: Shape Description For Three-dimensional Objectsmentioning

confidence: 99%

“…Experience shows that the number of objects can easily reach more than 100.000 without compromising the system performances [11]. Also, the system can collect three-dimensional objects from a file system or from the Internet.…”

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confidence: 99%

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The Virtual Boutique: Multimedia Retrieval and Data Mining for E-Commerce and E-Business in the Framework of a Virtual Environment

Paquet

Viktor

2003

Knowledge-Based Information Retrieval and Filtering From the Web

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Abstract:This chapter presents an approach for multimedia information retrieval employing an image-based algorithm. The Virtual Boutique is a novel, content-based system for multimedia information retrieval, based on virtual reality and visual information management. It supports realistic and fast rendering, extensive manipulation, reconfiguration and multimedia searching capabilities. The Virtual Boutique includes algorithms for searching through the inventory of an e-business, utilizing both images and three-dimensional objects. The chapter shows the application of The Virtual Boutique to an online boutique. In addition, it is illustrated how data mining can be used to determine patterns in consumer-interaction

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